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Wild Flower Id British Isles
Wild Flower Id British Isles Vs. Dragonfly Damselfly ID App

Wild Flower Id British Isles vs Dragonfly Damselfly ID App Usage & Stats

*** with Automatic Photo Recognition *** in this stunning guide to identifying Wild Flowers of the British Isles. Identification can be enjoyed by the whole family and will bring you closer to the natural world around you. For the enthusiast there is anatomical, ecological and taxonomic information too. Wild Flower Id can be used to keep a log of your flower sightings making it easy to build a record of all the flowers you've seen. Wild Flower Id has been created by professional published ecologists, and uses a propriety image library created with the specific aim of aiding wild flower identification with images of the flower, leaf, stem and plant. Wild Flower Id is great fun to use. SUNBIRD apps appear in Countryfile's top 10, and have been described as "incredibly useful" by ITV's Seth Conway and "lovely" by Adam Vaughan of the Guardian. SUNBIRD field guides are the only products on the market that use the KUSAM species identification methodology. This state of the art method is a modern taxonomic keying system designed specifically for use on mobile devices. All content is downloaded when the app is purchased - thus no internet connection needed in the field. Don't forget to keep your app up to date. The app includes: - automatic photo recognition - take a picture of the plant and find out what plant you are looking at - works completely offline - no internet connection needed - 800 images covering the full plant, flower and leaf - browse through 318 flower species - keep a log of your flower sightings - loads of anatomical, ecological and taxonomic information See our website for further information: http://sunbird.tv/de/sunbird-apps-ebooks/

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Dragonfly Damselfly ID App

The Dragonfly ID app is a comprehensive and easy-to-use resource to find and identify dragonflies and damselflies across the US and Canada. Geared towards both the avid dragonfly-watcher, and beginners, Dragonfly ID will help you find spots to look for dragonflies near you, help you identify the dragonflies and damselflies you see in the field, and learn more about the species you find. Additionally, Dragonfly ID enables users to easily view and submit Odonata sightings from the field. This important citizen science project enhance our understanding of Odonata distributions and abundances. DISCOVER SPECIES AROUND YOU • View species lists for any location in the US or Canada based on sightings in the OdonataCentral database • Filter to show recent sightings, or for any month(s) of the year • Bar charts of seasonal abundance built from the OdonataCentral database of sightings • Maps of recent sightings from OdonataCentral LEARN • Use Smart Search to quickly identify a species by color, size and habitat • Read descriptive text to help confirm the identification (contact us if you'd like to help!) • View the crowd-sourced gallery of images (contribute your photos at birdseye.photo/dragonflies) ENGAGE • Submit dragonfly sightings to OdonataCentral directly from the app (BUT SEE NOTE BELOW) • Track your life list via the app for any region • Sign in with an OdonataCentral account to see your sightings populate your life lists NOTE: this first release of sighting submission has MAJOR limitations: • Sightings cannot yet be edited after submission. We are working on it and it should be just a matter of a few weeks. In the meanwhile let us know if a sighting urgently needs to be edited or deleted. • Currently sightings do NOT go to OdonataCentral, but they will at some point in the future (~1 year?). In the meanwhile they will be visible within the app in a different color than regular OC sightings. • Sightings submitted through the app are NOT vetted by OC experts Dragonfly ID is a collaboration between BirdsEye and the folks at OdonataCentral and the Xerces Society with special thanks to the membership of the Dragonfly Society of the Americas and users of OdonataCentral, the Migratory Dragonfly Partnership, and PondWatch for their data contributions.